EVEMISSLAB

ExperimentEXP-2026-0105v0.1

Experiment C — μI operational identification (declared)

On proof steps, code repair and constraint puzzles, construct candidate semantic transitions, then test them by ablation and counterfactual replacement to see whether an effective semantic count N_μ can be identified and whether it predicts anything. Declared as the fourth v0.2 experiment; not run.

Research status
IDEA only a question or a concept so far
Evidence level
E0 Concept only
Result
INCONCLUSIVE
Data basis
NOT RUN Designed and validated as a harness; never executed with a real model.
Version
0.1
Updated
2026-09-02
Created
2026-09-02
Domain
Evaluation
Program
PRG-2026-0101 Intelligence Physical Metrology (IPM)
Authors
Neo.K (EveMissLab)
AI collaborators
Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)

Hypothesis

hypothesis
F5: adding N_μ improves prediction or explanation of efficiency, error paths, scaffold gain or cross-architecture comparison over physical cost → quality alone.

Procedure

procedure
Candidate transition construction → ablation / counterfactual replacement → contribution test Q(Y | μ) > Q(Y | do(μ = 0)) → utility test against direct physical-cost models.

Runs

run_count
0

Interpretation

interpretation
Declared, not run; listed so the program's falsifiable propositions each have their intended test on record.

Limitations

limitations
  • No protocol package exists yet; the canonical index gives the design in one paragraph.

Relations

SourceRelationTargetStatusID
EXP-2026-0105 Experiment C — μI operational identification (declared)testsCLM-2026-0105 F5 — Semantic intermediate utilityACTIVEREL-2026-0494
EXP-2026-0105 Experiment C — μI operational identification (declared)testsTHY-2026-0102 μI — the minimum intelligent semantic execution unit (candidate theory)ACTIVEREL-2026-0495

History and provenance

Canonical URL
https://evemisslab.com/ai/experiments/EXP-2026-0105/
Machine-readable
/ai/experiments/EXP-2026-0105/index.json
Snapshot
AI-SNAPSHOT-v0.1-fe85b9694a45
Provenance
source
EveMissLab research collection: Intelligence Physical Metrology (真本體論13)
extracted_by
Splice (Claude Code), reading the canonical UTF-8 sources and each package's own reports
extracted_at
2026-09-11
generator
tools/extract_all.py
claim_boundary
status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports